Jeffrey Straszheim wrote:
> As part of my Datalog work I'm putting together some directed graph 
> algorithms, mostly things like finding strongly connected components, 
> and building dependency stratifications (think topological sort but with 
> the results groups in tiers of non-interdependent nodes).  Anyhow, I'm 
> thinking this stuff will be usefull outside of Datalog, and am wondering 
> if I should just add it to contrib as a stand-alone library?

That would be great.  Especially if the algorithms can operate over some 
kind of generalized interface, so the algorithms can run over different 
graph implementations.  I'm writing a semi-structured storage library on 
top of the neo4j graph database, and it would be great if I could 
analyze properties like connectedness, degree distribution, etc.  I'm 
writing a graph query engine too, so it would also be cool if it could 
run over the in-memory graphs from your library.

-Jeff

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